diff --git a/consts.py b/consts.py
index 27596c1..0b342e1 100644
--- a/consts.py
+++ b/consts.py
@@ -50,13 +50,9 @@
 DISK_FOUR_COUNTS = np.zeros([HEIGHT, WIDTH], int)
 for row in range(HEIGHT):
   for column in range(WIDTH):
-    disk_fours = []
-    for four in FOURS:
-      if four[row, column]:
-        disk_fours.append(four)
+    disk_fours = [four for four in FOURS if four[row, column]]
     DISK_FOURS[row, column] = disk_fours
-    DISK_FOUR_COUNTS[row, column] = len(disk_fours)
-
+    DISK_FOUR_COUNTS[row, column] = len(DISK_FOURS[row, column])
 # Results
 RED_WIN = 1
 DRAW = 0
diff --git a/network.py b/network.py
index baa532b..4fa6514 100644
--- a/network.py
+++ b/network.py
@@ -106,10 +106,10 @@ def variables(self):
                              self.scope + '/')
 
   def assign(self, other):
-    copy_ops = []
-    for self_var, other_var in zip(self.variables, other.variables):
-      copy_ops.append(tf.assign(other_var, self_var))
-    return copy_ops
+    return [
+        tf.assign(other_var, self_var)
+        for self_var, other_var in zip(self.variables, other.variables)
+    ]
 
 
 class PolicyNetwork(BaseNetwork):
diff --git a/policy_training.py b/policy_training.py
index 6938252..b8e74fc 100644
--- a/policy_training.py
+++ b/policy_training.py
@@ -141,8 +141,7 @@ def train_games(self, opponent, games):
 
   def process_results(self, opponent, games, step, summary):
     win_rate = np.mean([game.policy_player_score for game in games])
-    average_moves = sum([len(game.moves)
-                         for game in games]) / self.config.batch_size
+    average_moves = sum(len(game.moves) for game in games) / self.config.batch_size
 
     opponent_summary = tf.Summary()
     opponent_summary.value.add(
@@ -263,10 +262,7 @@ def move(self, move, policy_player_turn=False):
     self.positions.append(self.position)
     if self.position.gameover():
       self.result = self.position.result
-      if self.result:
-        self.policy_player_score = float(policy_player_turn)
-      else:
-        self.policy_player_score = 0.5
+      self.policy_player_score = float(policy_player_turn) if self.result else 0.5
 
 
 def main(_):
diff --git a/util.py b/util.py
index 0957892..84b17f5 100644
--- a/util.py
+++ b/util.py
@@ -10,7 +10,7 @@ def find_previous_run(dir):
     if os.path.isdir(dir):
       runs = [child[4:] for child in os.listdir(dir) if child[:4] == 'run_']
       if runs:
-        return max([int(run) for run in runs])
+        return max(int(run) for run in runs)
 
     return 0